Sporting Event Rating System Using Weighted Criteria
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Solution Overview
Problem
Existing systems fail to effectively gauge the excitement of sporting events based on prior and current statistics and user input, leading to inadequate notification of appealing games to users.
Innovation Solution
A rating system that uses weighted scenarios and mathematical expressions to determine the appeal of sporting events by combining prior and current game statistics, team rankings, and user preferences, with a notification engine to alert users when interest levels reach specific thresholds.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a rating system combines multiple statistical criteria and user inputs to accurately identify exciting sporting events, then the precision of event identification is improved, but the complexity of the system increases
Solution Approach 1:
The system segments the complex task of identifying exciting sporting events into multiple independent weighted criteria (e.g., game closeness, time remaining, team rankings, user preferences). Each criterion is evaluated separately and then aggregated through mathematical expressions, making the overall system more manageable and transparent while maintaining high identification accuracy.
Solution Approach 2:
The system dynamically adjusts parameters such as weighting factors for different criteria based on user preferences and event context. By changing these parameters, the system can adapt to different user needs and event types without requiring complete system redesign, thus managing complexity while preserving precision.
2Loss of information
If the system sends notifications to all users about sporting events, then the completeness of information delivery is improved, but information overload occurs
Solution Approach 1:
The system applies local quality by customizing notifications according to individual user preferences, historical behavior, and specific interests. Instead of uniform notification delivery, each user receives tailored notifications that match their local context and needs, reducing information overload while maintaining completeness of relevant information delivery.
Solution Approach 2:
The system incorporates feedback mechanisms where user responses to notifications (e.g., engagement levels, explicit preferences) are used to adjust future notification strategies. This feedback loop allows the system to learn from user behavior and optimize notification delivery, preventing information overload while ensuring complete delivery of events users actually care about.
3Speed
If the system processes real-time game statistics and user inputs continuously, then the responsiveness of event identification is improved, but the energy consumption increases
Solution Approach 1:
The system implements periodic action by evaluating statistical criteria at specific intervals or trigger points during games (e.g., after scoring events, at quarter endings, or when threshold changes occur) rather than continuously processing every data point. This approach maintains responsiveness to exciting events while significantly reducing energy consumption compared to continuous real-time processing.
Data Source
AI summary
Systems and methods for determining interest levels for sporting events and notifying users when the sporting events' interest levels reach threshold levels. One embodiment is a system that includes a processing engine that receives data associated with sporting events and, based on this data, determines interest levels associated with the sporting events. The system also includes a notification engine is coupled to the processing engine. When the processing engine determines that the interest level associated with a particular sporting event has reached a threshold, the notification engine provides notifications to users indicating that the threshold level has been reached.